127 Ofertas de Data Analytics en Costa Rica

B&T is seeking a Data Analytics & Reporting
to join a global team that supports clinical trials from Phase 1 through Phase 4. This role is key in transforming complex data into actionable insights through advanced analytics, predictive modeling, and visualization.

The ideal candidate will combine strong technical expertise in data management with analytical and problem-solving skills, supporting decision-making in a highly regulated environment.

Key Responsibilities

• Design and develop
  data queries and workflows
  using SQL, Alteryx, or Dataiku for aggregation and transformation.
• Build
  custom solutions
  for data capture and processing using Python and/or RStudio.
• Collaborate with digital and cross-functional teams on
  data source integration
  .
• Solve supply chain and logistics challenges through
  predictive and prescriptive models
  , machine learning, and optimization techniques.
• Develop and maintain
  data visualizations, dashboards, and reports
  for technical and business stakeholders.
• Contribute to the
  GCS Data Marketplace
  by supporting testing, reporting, and writing articles for the data catalog.
• Ensure compliance with
  system development life cycle, computer system validation, and GxP requirements
  .
• Create and maintain documentation, training materials, and best practices.

Qualifications

Education & Experience

• Bachelor's degree in Data Analytics, Computer Science, Statistics, or related field with
  3+ years of experience
  in data analytics, OR
• Master's degree with
  1+ year of experience
  in data analytics.

Technical Skills

• Proficiency in SQL and workflow automation tools (Alteryx, Dataiku).
• Hands-on experience with Python and/or R.
• Strong background in data mining, integration, and processing.
• Knowledge of machine learning techniques for predictive and prescriptive modeling.
• Experience with data visualization platforms (Spotfire, Tableau, or similar).

Professional Skills

• Fluent English communication (written and spoken).
• Strong collaboration skills across multicultural and cross-functional teams.
• Experience working in
  Agile environments
  .
• Analytical, detail-oriented, and adaptable to changing priorities.

Preferred

• Experience in
  pharmaceutical, healthcare, or clinical trial data
  .
• Knowledge of
  data governance and compliance standards
  in regulated industries.
• Project management skills with the ability to manage multiple priorities.

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Position Summary:

The GBS Data Analytics Developer will play an integral role in driving performance analysis, analytics, dashboards and other business intelligence and data engineering activities throughout GBS Shared Services globally.

The individual will be a key member of a team responsible for supporting the needs of various teams globally and across different workstreams including OTC, RTR, PTP, Customer Care and others. The objective would be to prepare Thermo Fisher to successfully & efficiently scale up to the company's 2030 vision of becoming a $50B revenue organization.

Key Responsibilities:

• Support initiatives in performing data mining, transforming, loading, cleansing as well as analysis, manipulation and visualization.

• Identify vital data elements and their sources, applying appropriate tools and technologies to acquire and consolidate large volumes of data from different sources.

• Partner with internal customers across multiple workstreams to evaluate and delivering end to end solutions.

• Work with global Shared Services team to identify new BI capabilities and projects.
• Support ongoing, recurring tasks, ensuring the seamless operation of critical data processes and reporting activities.
• Collaborate with financial operations to streamline and enhance the month-end close processes, ensuring accuracy and efficiency in financial reporting.
• Work independently, or with functional analysts, to build reports, data sets and mechanisms to provide access to business insights.
• Be accountable for the diagnosis and support of Power BI reporting solutions, including investigation of data issues, data validation, scalability, balancing and row level security implementation
• Build and deliver standards on defining, crafting, and documenting reference Power BI architecture.
• Identify and provide input to new technology opportunities, including but not limited to regular Microsoft PBI releases, that will have a positive impact on improving the data visualization portfolio.
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

Background:

• 3+ years proven track record in Business Intelligence (BI) and data analytics, preferably in the fields of finance and technology, including shared services or consulting positions.
• Bachelor's degree or certifications, in Computer Science, Management Information Systems, Data Science, or a related work experience.

Knowledge, Skills, Abilities:

• Fluent communication in English
• Experience in leading and participating in distributed projects.
• Proficiency in data analysis tools such as SQL, ETL concepts, and BI tools like Power BI.
• Expertise in crafting DAX queries in Power BI desktop
• Experience in Data Lake using AWS, Databricks, Apache Spark & Python - Good to have
• Experience with Power Platform (Power Apps, Power Automate) - Nice to have
• Experience in a Productivity & Performance Management role is helpful.
• Effective interpersonal skills to engage with internal and external leadership.
• Shown adaptability in dynamic and exciting environments.
• Collaborative mentality, working effectively with colleagues and partners.
• Proven relationship builder, able to operate within a multitude of formal and informal networks while handling the competing interests of multifaceted partners.
• Champions efficiency improvements through Practical Process Improvement (PPI) and has a dedication to continuous learning.
• Superb attention to detail required.

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients' agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.

Kepler prides itself on being a great place to work. In fact, we're proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients.

• We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face.
• We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company.
• We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it.

Summary
As a Data Analytics Specialist 1, you will be responsible for ingesting, QA'ing, cleaning, transforming, visualizing, and interpreting digital marketing performance data. You will need outstanding problem-solving abilities, comfort with manipulating large sets of data, and excellent English communication skills. This is an exciting, entry-level position that requires strong quantitative skills, a technical mindset, and a desire to be part of a tightly-knit team that's out to change the industry. You will work with and learn from the smartest people in the industry.

Please note, the official title for this position will be "Data Strategy & Analytics Specialist 1", upon hire.
What You Will Do

• Manage digital media, third party, and client data across multiple clients.
• Unify and translate large sets of data from different data sources into cross-channel visualizations, dashboards, and reports for both Kepler and client usage, tailoring them to your clients' unique business objectives and needs
• Partner with clients and internal teams to understand business and marketing goals, leveraging analytics to advance these goals.
• Develop data visualizations (e.g., Datorama, Looker, PowerPoint) for brands and any back-end functionality, as well as custom client-facing reports as needed.
• Help identify data discrepancies and possible problems with campaign tracking or reporting infrastructure.
• Become an expert in the digital marketing ecosystem and in media analytics tools across digital channels, including display (banner ads), mobile (smartphone, tablet), search (Google, Bing), social (Facebook, Twitter) and online video (Hulu, YouTube), among others.
• Become an expert in Kepler's proprietary software suite and AI capabilities.
• Learn about testing and custom analysis techniques to measure the impact of digital media campaigns and generate actionable insights for our clients.

Must Have

• Strong analytical and problem-solving abilities.
• Strong interest (or experience) in marketing and digital media analytics (including display, mobile, social and search)
• Comfort with MS Excel and large sets of data, with the ability to think creatively about challenging problems.
• Excellent bilingual communication skills in English and Spanish.
• Strong proficiency with SQL.
• Ability to self-manage, juggle multiple priorities, and pay strong attention to detail.
• Ability to contribute to an entrepreneurial, team-based environment.

Nice To Have

• University degree.
• Online advertising experience (e.g., Google Ads/Search Ads 360, Facebook Ads, LinkedIn Ads, Google Analytics, etc.).
• Experience working with Salesforce Datorama or similar reporting software such as Looker Studio, PowerBI, or Tableau.
• Knowledge of programming languages to aid in analysis (e.g., SQL, Python, R).

Benefits & Perks

• Competitive health and dental benefits
• Tuition reimbursement and training stipend
• Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend
• "Work from Anywhere" 4 weeks per year
• Stocked kitchen, and other team outings
• Collaborative and friendly work space, easily commutable location
• Volunteering & altruism opportunities
• Team building lunches and events, and company celebrations: Summer, Halloween, Holidays, and many multicultural holidays recognized/celebrated
• If something is important to you that's not listed here, let us know

Career & Development Focus

• Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events
• Opportunities to pursue business related side projects and Hackathons
• Environment of learning from peers, including 30+ class training program, Kepler University, powered by Center of Excellence and Tiger Team subject matter expert groups
• Opportunity to work with cutting edge technology and industry thought leaders
• Kepler Rocket Mentorship Program: beneficial for the development of both mentors and mentees
• All applications must include a Resume & Cover Letter in English to be considered.

Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.
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TransUnion's Job Applicant Privacy Notice

What We'll Bring
What we'll bring:

• A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
• Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
• Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.
• We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.
• Our Data Science and Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we'll appreciate them.

What You'll Bring
What you'll bring:

• Master's degree in statistics, economics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field with at least three (3) year of relevant professional experience; or a Bachelor's degree in a quantitative field with at least five (5) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
• Demonstrated ability to build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
• Strong analytical, critical thinking, and creative problem-solving skills.
• Advanced programming skills and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages and big data platforms (SQL, Hive, Spark, C/C++, Java); high level of familiarity with Microsoft Office tools.
• Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment; evidence of initiative-taking.
• Strong project and time management skills with the ability to manage multiple assignments effectively.
• Experience in data visualization methods and tools.
• Strong storytelling skills.
• Interest in internal and external consulting and ability to travel 10-20%

Impact You'll Make
What we'd prefer to see:

• Familiarity with identity, fraud, security, or credit bureau data and solutions.
• Experience and demonstrated success in applying predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications over a period of at least one (1) year; experience building analytical solutions that deliver value and create competitive advantage.
• The desire to work on full-stack data science solutions and engage in continuous learning.
• Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
• Knowledge of various ETL techniques and frameworks.
• Work experience in industries served by TransUnion, such as financial services, insurance, and digital marketing.

Impact You'll Make
This position is a 4 months contract (until Dec 31st, 2025) , and during this time you will be responsible for supporting the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing business applications.

You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include –among others- the development of predictive models, new business rules, and device and other identity solutions of broad scope and complexity for customers within the various industries served by TransUnion.

You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design to development, to peer review, to client presentation, to implementation and audit, with a high degree of autonomy and limited supervision.

You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services and develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion, applying your practical analytic experience to find areas of new value of TransUnion customers. In the context of these opportunities, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed.

You will design, write, and test programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.

You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.

TransUnion Job Title

Consultant, Data Science and Analytics

Primary responsibilities include - Developing analytics solutions through: Data mining and transformation, Statistical and optimization modeling, Predictive and prescriptive models using Machine Learning (ML); Creating and communicating insights via: Data visualizations, Clear presentation to both technical and business stakeholders; Developing applications for data input/capture and processing.

Education & Experience:

Bachelor's degree in relevant field + 3 years data analytics experience, OR Master's degree + 1 year data analytics experience.

Technical Skills:

Proven experience as a Full Stack Developer, capable of delivering complete web applications from concept to deployment.

•
Strong proficiency in UX/UI design, with the ability to create intuitive and visually engaging interfaces.

•
Solid knowledge of SQL for data preparation, table and field creation, following best practices.

•
Familiarity with REST API or Graph API for application integration and data connectivity.

•
Hands-on experience with GitHub and Git version control, including command-line operations.

•
Preferred coding expertise in R Shiny, Python, HTML, CSS, and JavaScript; familiarity with ReactJS and NextJS is a plus.

Professional Skills:

•
Fluent in English (written and verbal)

•
Strong communication and collaboration abilities

•
Agile work methodology experience

•
Problem-solving mindset and adaptability

Preferred Skills:

•
Experience in the pharmaceutical or healthcare industry

•
Knowledge of Pfizer's data governance and compliance standards

•
Strong project management skills with the ability to manage multiple tasks and priorities.

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities:

• Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
• Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
• Apply fundamental knowledge of programming languages for design specifications.
• Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
• Serve as advisor or coach to new or lower level analysts
• Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
• Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as SME to senior stakeholders and /or other team members.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 2-5 years of relevant experience in the Financial Service industry
• Intermediate level experience in Applications Development role
• Consistently demonstrates clear and concise written and verbal communication
• Demonstrated problem-solving and decision-making skills
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Education:

• Bachelor's degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

We are seeking a highly skilled and experienced Technical Data Analyst to join our growing team. This role requires a strong technical foundation in Oracle PL/SQL, combined with expertise in data analysis tools and techniques. The ideal candidate will be a strategic thinker with a proven ability to lead and mentor a team of data analysts, driving data-driven insights and contributing to key business decisions. They will also be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects.

Responsibilities:

• Design, develop, and maintain complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes.
• Utilize Python scripting for automation.
• Perform in-depth data analysis to identify trends, patterns, and anomalies, providing actionable insights to improve business performance.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Develop and maintain data quality standards and ensure data integrity across various systems.
• Stay up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements.
• Research and evaluate emerging AI/ML tools and techniques for potential application in data analysis projects.

Preferred Qualifications:

• Strong analytical, problem-solving, communication, presentation, and interpersonal skills.
• Hands-on work experience as Technical Data Analyst(not a business analyst) with Oracle PL/SQL & python programming to interpret analytical tasks and analyze the large datasets.
• Expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense.
• Awareness and understanding of AI/ML tools and techniques in data analytics (e.g., machine learning algorithms, natural language processing, predictive modeling).
• Experience in the financial services industry would be preferred.

-

Job Family Group:

Technology

-

Job Family:

Applications Development

-

Time Type:

Full time

-

Most Relevant Skills

Please see the requirements listed above.

-

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

-

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi's EEO Policy Statement and the Know Your Rights poster.

The Data Quality Analytics & Reporting Lead Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality Analytics & Reporting team. The overall objective is to manage and execute continuous Data Quality by overseeing firm-wide controls, setting parameters and guidelines for measurement, evaluation, adoption, and communications of Data Quality and Data Quality risk. Requires in-depth understanding of data and reporting. Requires sound analytical skills to filter, prioritize and validate potentially complex and dynamic material from various sources to monitor and certify authoritative data sources and remediate data concerns.

Responsibilities:

• Designs/analyzes complex reports to satisfy management requirements
• Develops broad-based business reporting solutions to issues that have complex/multiple variables have potential to cause substantial impact if left unresolved
• Leads reengineering efforts in business's methodology, strategy, and organizational goals
• Manages overall projects, and contributes to identifying solutions for business reporting issues
• Provides in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions
• Acts as advisor or coach to new or lower-level personnel in processes and procedures of the team
• Influences strategic functional decisions through advice, counsel or provided services that have direct impact on the business
• Completes projects to acquire data, manage it, and present it for use in reporting and statistics
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 6-10 years of experience, Banking or Finance industry preferred
• Experience / Certifications in Agile Methodology preferred
• Possesses a comprehensive understanding of how own area and others collectively integrate to contribute towards achieving business objectives
• Effective collaborator, by being able to build relationship and partnership s with others to meet shared objectives
• Communicates effectively and in a way that conveys a clear understanding of the unique needs of different audiences
• Experience in managing and implementing successful projects
• Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint)

Education:

• Bachelor's/University degree, Master's degree preferred

As a successful candidate, you'd ideally have the following skills and exposure:
Qualifications:

• Advanced English level
• Experience: 4 - 6 years of relevant experience in implementing Data Quality Rules, preferably with DAMA and/or HR Data Quality management experience.
• Tools & Capabilities: Proficiency in HR business processes preferably with knowledge of Workday. Strong knowledge of database platforms such as Starburst, Oracle and reporting tools such a Tableau.
• Project Management: Advanced knowledge of project management methodologies and tools, with experience in managing project timelines and adapting to evolving requirements.
• Stakeholder Management: Proven ability to balance the needs of diverse stakeholders, managing tight deadlines while maintaining flexibility.
• Effective Communication: Strong communication skills, capable of conveying complex concepts and tailoring messages to different audiences.
• Analytical Ability: Demonstrated analytical and problem-solving skills, with the ability to synthesize information and make data-driven recommendations.

Education:

• Bachelor's degree required
• Master's degree preferred, especially in fields related to Data Management, Business Administration, or a relevant technical discipline

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:
Data Governance

Job Family:
Data Quality & Data Quality Analytics and Reporting

Time Type:
Full time

Most Relevant Skills
Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management.

Other Relevant Skills
Data Quality Management.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

About the Role

We are seeking a highly motivated Data Science Specialist to join our team. This role will focus on designing, developing, and implementing data-driven solutions that support decision-making across the organization. The ideal candidate combines strong technical expertise with business acumen, translating complex datasets into actionable insights that drive growth and efficiency.

Key Responsibilities

• Collect, clean, and analyze large structured and unstructured datasets to identify patterns, trends, and opportunities.
• Develop, implement, and optimize predictive models, machine learning algorithms, and statistical analyses.
• Partner with business units to understand challenges, translate them into analytical problems, and deliver clear, actionable solutions.
• Create dashboards, visualizations, and automated reports to communicate insights effectively to technical and non-technical stakeholders.
• Ensure data quality, governance, and integrity across multiple systems.
• Stay up to date with emerging data science tools, methodologies, and best practices.

Qualifications

Education & Experience

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
• 2+ years of proven experience in data analysis, data science, or related roles.

Technical Skills

• Strong proficiency in Python and/or R for data analysis and modeling.
• Experience with SQL and relational databases.
• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Power BI, Tableau, or similar).
• Solid understanding of statistics, probability, and hypothesis testing.

Soft Skills

• Strong problem-solving and critical thinking skills.
• Excellent communication skills with the ability to explain complex concepts simply.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• Experience with big data technologies (Hadoop, Spark, etc.).
• Cloud computing exposure (AWS, GCP, or Azure).
• Knowledge of data engineering principles and ETL pipelines.
• Experience with NLP, computer vision, or other advanced machine learning techniques.

What We Offer

• Competitive compensation and benefits package.
• Opportunities for professional growth and continuous learning.
• A collaborative, innovative, and data-driven culture.